diff --git a/doc/the-import-spreadsheet.md b/doc/the-import-spreadsheet.md new file mode 100644 index 0000000..38eb43f --- /dev/null +++ b/doc/the-import-spreadsheet.md @@ -0,0 +1,41 @@ +(From discussion at +https://dxw.slack.com/archives/C04FQ3GFGUQ/p1699463646068439 +https://dxw.slack.com/archives/C02TP2L2Z0F/p1720540543957149 +) + +The "back catalogue" spreadsheet contains all the information we had about judgments published before launch. + +https://trello.com/1/cards/654bc37c6e509bf4a921c395/attachments/654bc58009e8d4cf622042fd/download/back_cat.xlsx +(from https://trello.com/c/bRvB0uGK) + +So, for example, you can tell which documents we received as PDF, etc. + +There were three different sources of documents: BAILII, “other” (including the Supreme Court), and what I called “new” (documents received directly from the courts via their email distribution list, before TDR was operational) +https://trello.com/c/Xhl3q3Sa has more info on this. + +The “internal” metadata fields show the metadata values the parser had identified. The other metadata tabs show metadata values that I gave to the parser along with the .docx (and which would then trump the others) + +1 in “deleted” means ignore it +“main” mean it’s a judgment (0 means it’s an associated document) +“docx” means I was able to generate a .docx from the original +“bad_internal_cite” means the NCN in the document is not correct +“xml” means the parser was able to complete parsing +“website” means it was uploaded it to the prototype MarkLogic (from which the judgments were eventually taken) +filename: original bailii filename +tna_id: our ID + +Almost all of the original filenames are good -- there are 13 which do not have the correct original name (see bad_internal_cite). +[We should be able to rewrite the filename of these files using the URL path] +(We are intending to copy files from the bailii-docx bucket to production S3) +We are only intending to handle the bailii_files tab for now + +The source and destination filenames will need mangling -- whilst there should only be the best file format in the spreadsheet, +if the source filename is EAT/2000/1.rtf, the transformed docx will be at /rtf/EAT/2000/1.docx. +And if the tna_id filename is eat/2000/1, the target should be eat/2000/1/eat_2000_1.docx +We should ignore all lines with a '0' for tna_id + +Theoretically, there might be two files with different extensions: .docx and .doc; .rtf and .pdf etc with the same name +The spreadsheet should have already chosen the docx in preference, but don't overwrite as a precaution. + +TODO: check if I have permissions to bailii-docx +TODO: check if no tna-id documents are sensible and should be uploaded -- ewca/civ/2003/496 might be one of them. diff --git a/utilities/spreadsheet_docx/README.md b/utilities/spreadsheet_docx/README.md new file mode 100644 index 0000000..013c548 --- /dev/null +++ b/utilities/spreadsheet_docx/README.md @@ -0,0 +1,4 @@ +See doc/the-import-spreadsheet.md for details + +This is for copying files from the bailii-docx S3 bucket to the unpublished or published assets repos, +renaming them and omitting them as appropriate. diff --git a/utilities/spreadsheet_docx/copy_from_bailii_s3.py b/utilities/spreadsheet_docx/copy_from_bailii_s3.py new file mode 100644 index 0000000..e290230 --- /dev/null +++ b/utilities/spreadsheet_docx/copy_from_bailii_s3.py @@ -0,0 +1,172 @@ +# ruff: noqa: T201 (print) +# ruff: noqa: S603 (untrusted subprocess input) +# ruff: noqa: PYI024 (typing.NamedTuple instead of collections) + + +# """Make a bash script to copy the files across to S3""" + +import csv +import json +import re +import subprocess +import sys +from collections import Counter, namedtuple +from pathlib import Path + +import requests + +SOURCE_BUCKET = "bailii-docx" +UNPUBLISHED_BUCKET = "tna-caselaw-unpublished-assets" +PUBLISHED_BUCKET = "tna-caselaw-assets" +DALMATIAN_INFRASTRUCTURE = "caselaw" +ASSETS_BASE = "https://tna-caselaw-assets.s3.amazonaws.com" +CASELAW_BASE = "https://caselaw.nationalarchives.gov.uk" + +SPREADSHEET = "bailii_files.csv" +DRY_RUN = "--for-real" not in sys.argv[1:] +if not DRY_RUN: + print("Running for real...") + +# NOTE THIS MUST BE RUN AS A V2 DALMATIAN +# Run `dalmatian version -v 2` first + + +class UnexpectedExtension(Exception): + pass + + +with Path(SPREADSHEET).open() as f: + csv_reader = csv.reader(f) + raw_data = list(csv_reader) + +headers = raw_data[0] + +BaseRow = namedtuple("Row", headers) + + +class Row(BaseRow): + def source_key(self): + extension_match = re.search(r"^(.*)\.([a-z]*)$", self.filename) + root, extension = extension_match.groups() + if extension not in ["rtf", "pdf", "doc", "docx"]: + raise UnexpectedExtension + return f"{extension}/{root}.docx" + + def target_key(self): + path = self.tna_id + filename = self.tna_id.replace("/", "_") + ".docx" + return f"{path}/{filename}" + + def has_docx_in_s3(self): + response = requests.head(f"{ASSETS_BASE}/{self.target_key()}", timeout=30) + return response.status_code == 200 + + def is_published(self): + response = requests.head(f"{CASELAW_BASE}/{self.tna_id}", timeout=30) + print(response) + return response.status_code == 200 + + def copy_command(self, target_bucket): + if target_bucket == UNPUBLISHED_BUCKET: + public_bonus = [] + elif target_bucket == PUBLISHED_BUCKET: + public_bonus = [ + "--acl", + "public-read", + ] + else: + raise RuntimeError + + dryrun_bonus = ["--dryrun"] if DRY_RUN else [] + + command = [ + "dalmatian", + "aws-sso", + "run-command", + "-i", + DALMATIAN_INFRASTRUCTURE, + "-e", + "staging", + "s3", + "cp", + f"s3://{SOURCE_BUCKET}/{doc.source_key()}", + f"s3://{target_bucket}/{doc.target_key()}", + "--acl", + "bucket-owner-full-control", + ] + + command.extend(public_bonus) + command.extend(dryrun_bonus) + return command + + +columns = {} +for header in headers: + columns[header] = Counter() + +nice_data = [] +for row in raw_data[1:]: + row_object = Row(**dict(zip(headers, row))) + if len(row) != len(headers): + msg = "Data not rectangular" + raise RuntimeError(msg) + nice_data.append(row_object) + for header in headers: + columns[header][row_object._asdict()[header]] += 1 + +for x in columns: + print(x, columns[x].most_common(10)) + + +def clean_rows(nice_data): + """drop data that doesn't have tna id's etc, report on number left""" + print(len(nice_data)) + nice_data = [doc for doc in nice_data if doc.tna_id] + print(len(nice_data), "have tna_id") + nice_data = [doc for doc in nice_data if doc.deleted == "0"] + print(len(nice_data), "not deleted") + nice_data = [doc for doc in nice_data if doc.main == "1"] + print(len(nice_data), "main") + # There is one that didn't have a docx, but pdf/UKFTT-TC/2018/TC06353.docx exists just fine + # print ([doc for doc in nice_data if doc.docx == "0"]) + # nice_data = [doc for doc in nice_data if doc.docx == "1"] + # print (len(nice_data), "docx") + # bad_internal_cite is not a reason to not write docx -- we rewrite the path anyway + # nice_data = [doc for doc in nice_data if doc.bad_internal_cite == "0"] + # print (len(nice_data), "valid_cite") + nice_data = [doc for doc in nice_data if doc.xml == "1"] + print(len(nice_data), "xml") + nice_data = [doc for doc in nice_data if doc.website == "1"] + print(len(nice_data), "website") + return nice_data + + +nice_data = clean_rows(nice_data) +print(len(nice_data)) + +for row_num, doc in enumerate(nice_data): + if doc.has_docx_in_s3(): + print(f"Skipping #{row_num} {doc.target_key()}, exists") + continue + + print(f"Writing #{row_num} {doc.source_key()} to {doc.target_key()}...") + + command = doc.copy_command(UNPUBLISHED_BUCKET) + print(command) + retcode = subprocess.run(command, check=False).returncode + + if retcode != 0: + raise RuntimeError + + if not doc.is_published(): + print(f"Skipping public upload of {doc.target_key()}, not published") + with Path("not_published.jsonl").open("a") as f: + f.write(json.dumps([doc.source_key(), doc.target_key()]) + "\n") + 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